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  • 1
    In: Blood, American Society of Hematology, Vol. 118, No. 21 ( 2011-11-18), p. 152-152
    Abstract: Abstract 152 Acute graft-versus-host disease (GVHD) is the primary limitation of allogeneic hematopoietic cell transplantation (HCT). Current diagnostic tests do not predict a patient's response to therapy, particularly at GVHD onset, when risk-stratification is most beneficial. We hypothesized that biomarkers discovered with an intact proteomic analysis system (IPAS) approach that we have previously described (Paczesny et al. 2010) will discriminate between therapy responsive (resolution or improvement of GVHD by day (D) 28 post-therapy initiation) and unresponsive (absence of complete or partial response) patients and predict survival in patients receiving GVHD therapy. We first performed an IPAS comparing pooled plasma taken at D16 ± 5 post-therapy from 10 responders (R) and 10 non-responders (NR). Ten candidate biomarkers with an NR/R ratio of 〉 1.5 in the IPAS were measurable by ELISA. We therefore measured concentrations in the 20 individual plasma aliquots. Five were significantly increased in NR vs. R, with an area under the receiver operator characteristic curve of ≥ 0.85 (ST2, IL1sRII, MIF, LYVE, and Lipocalin). These were then measured at therapy initiation (D0), with 6 previously validated diagnostic biomarkers of GVHD (IL2Rα, TNFR1, HGF, IL8, Elafin, a skin-specific marker, and Reg3α, a gut-specific marker) in plasma samples from a validation set of 381 patients with acute GVHD grade 1–4 at onset and treated with systemic steroids at the University of Michigan from 2000 to 2011. Preliminary analyses (not shown) determined that D0 measurements predicted D28 non-response and D180 OS. HLA match (match vs. mismatched; Odds Ratio (OR) 1.5, p = 0.07), conditioning intensity (full vs. reduced; OR 1.7, p = 0.04), and GVHD onset grade (grade 3–4 vs. grade 1–2; OR 2.2, p = 0.001) predicted day 28 non-response in univariate analysis, while age at transplant (≥ 55 years vs. 〈 55 years), donor (unrelated vs. related), and stem cell source (peripheral blood vs. bone marrow/cord) did not. After adjustment for the 3 clinical characteristics which predicted D28 response, multivariate analysis of the 11 protein concentrations showed that 3 predicted D28 response (ST2, p = 0.001; IL1sRII, p = 0.07; and IL8, p = 0.03) and 7 predicted post-therapy D180 OS (ST2, p = 0.003; IL1sRII, p = 0.07; IL8, p = 0.05; Elafin, p = 0.06; MIF, p = 0.04; TNFR, p = 0.03; and Reg3α, p = 0.002 in gut-GVHD subset). Using logistic regression, we examined the ability of both the 7 biomarkers and ST2 alone to predict for D28 non-response, as ST2 was the most significant marker in all previous analyses. ST2 is the IL33 receptor, a member of the IL1/ Toll-like receptor superfamily, which promotes a Th2-type immune response in diseases such as arthritis and asthma (Kakkar et al. 2008). A high biomarker value was defined as a plasma concentration greater than 50% above the median value of the responders' group. A high panel was defined as having at least 5 of 7 high biomarkers. Patients with high ST2 levels were 2.6 times more likely not to respond to therapy independent of the aforementioned significant clinical characteristics (p 〈 0.001) while patients with a high panel were only 1.9 times more likely not to respond (p = 0.004). Thus, only ST2 measurement was used for further analyses. Because ST2 concentrations correlated with response, we hypothesized that ST2 would predict D180 non-relapse mortality (NRM), independent of GVHD onset grade, the strongest clinical predictor of NRM (20% for GVHD grade 1–2 vs. 50% for GVHD grade 3–4, Hazard ratio (HR) 3.0, p 〈 0.001). NRM cumulative incidence curves and HR for the 4 risk categories of low ST2 / grade 1–2, low ST2 / grade 3–4, high ST2 / grade 1–2, and high ST2 / grade 3–4 are shown in Figure 1. Interestingly, patients presenting with high clinical grade and low ST2 had a good prognosis, suggesting that ST2 provides important prognostic information at initiation of therapy above the clinical grade. In conclusion, soluble ST2, the form measured by ELISA, is a decoy receptor that drives the Th2 phenotype toward Th1, a mechanism by which it may act in the pathophysiology of resistant GVHD. ST2 concentrations obtained at initiation of GVHD therapy significantly enhance the accuracy of outcome prediction independent of GVHD grade. Measurement of ST2 may allow for early identification of patients at risk for subsequent non-response and mortality, and may provide a promising target for novel therapeutic interventions. Disclosures: No relevant conflicts of interest to declare.
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    ISSN: 0006-4971 , 1528-0020
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    Language: English
    Publisher: American Society of Hematology
    Publication Date: 2011
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  • 2
    In: Blood, American Society of Hematology, Vol. 112, No. 11 ( 2008-11-16), p. 716-716
    Abstract: There are no plasma biomarkers that are specific to any of the three target organs of acute graft versus host disease (GVHD): skin, GI tract and liver. We sought to identify a biomarker that is specific for GVHD of the skin in an initial discovery step using an intact proteomic analysis system. We compared plasma pooled from ten patients with GVHD only of the skin (sGVHD) to plasma pooled from ten patients with no GVHD to plasma pooled from ten patients with GVHD only of the GI tract. Of four candidate proteins that were both significantly elevated only in the plasma of sGVHD patients and that could be measured by ELISA, we selected elafin, an epidermal proteinase inhibitor that is induced by TNF-α and found in inflamed epidermis in diseases such as psoriasis. We therefore measured levels of elafin (expressed hereafter as mean ± SEM pg/ml) in individual samples of the discovery set, confirming that they were significantly higher in plasma from patients with sGVHD compared to patients presenting only with GI GVHD or without GVHD, respectively (13,312 ± 2456 vs. 3968 ± 537 vs. 3257 ± 332, p 〈 0.0001). We next analyzed a validation set of 429 plasma samples from allogeneic BMT patients transplanted at the University of Michigan from 2000–2008. We obtained samples at regular intervals from all patients until day 100 after BMT and at the first clinical signs of sGVHD. 275 (64%) patients had no GVHD and 154 (36%) had sGVHD. There were no statistically significant differences between patients with sGVHD and without GVHD with respect to age, underlying hematological malignancies and conditioning intensity. Recipients of grafts from donors who were not family members or who were less than 8/8 HLA identical matches were overrepresented in the sGVHD group. The median post-transplant day for sample collection was day 31 in GVHD-group and day 30 in sGVHD group. Elafin levels were two fold higher in plasma from patients with sGVHD as compared to plasma from patients without GVHD (7532 ± 488 vs. 3925 ± 112, p 〈 0.0001). We next analyzed whether elafin levels provided prognostic information regarding eventual maximum stage of GVHD skin, transplant-related mortality and overall survival. We divided the patients into 2 groups using a threshold level of elafin that provided 85% specificity (5500 pg/ml). The group with the high levels of elafin comprised 29% of the total patient population and developed more severe skin GVHD (maximum stage) than the group with low levels (p 〈 0.0001, Table 1). Patients with high elafin levels also experienced greater transplant-related mortality (TRM) at 1 year: 18% (95% CI, 11–25%) vs. 7% (95% CI, 4–11%) (p = 0.002). This difference remained significant when adjusted for age, family member donor, conditioning intensity and HLA mismatch (p = 0.01). Patients with high elafin levels also experienced lower overall survival (OS) at 1 year: 61% (95% CI, 52–71%) vs. 76% (95% CI, 71–82%) (p 〈 0.0001, adjusted for all the factors above) (Figure 1). Within the population of patients with sGVHD (n =154), patients with high elafin had a mortality-hazard ratio of 1.98 compared to patients with low elafin levels (p = 0.003). This hazard ratio of 1.98 remained significant (p = 0.017) after adjusting for stage of skin disease at onset, demonstrating that the association of mortality risk with elafin levels was independent of the GVHD clinical stage. In additional studies, we determined whether elafin levels measured 7 days prior to clinical onset of skin disease predicted a subsequent occurrence of sGVHD. In samples available from 133 patients, 7 days prior to sGVHD onset, elafin levels were 1.26 fold higher than in patients who did not later develop GVHD (4279 ± 222 vs. 3448 ± 108, p = 0.001). We conclude that elafin is a novel biomarker for sGVHD that can provide important diagnostic and prognostic information, including long term survival. Table 1: Correlating low/high elafin with maximum skin stage Maximum skin stage Maximum skin stage 0–1 2–4 p-value Low elafin 83% 17% 〈 0.0001 High elafin 38% 62% Figure 1: Figure 1:.
    Type of Medium: Online Resource
    ISSN: 0006-4971 , 1528-0020
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    Language: English
    Publisher: American Society of Hematology
    Publication Date: 2008
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  • 3
    In: Blood, American Society of Hematology, Vol. 113, No. 2 ( 2009-01-08), p. 273-278
    Abstract: No validated biomarkers exist for acute graft-versus-host disease (GVHD). We screened plasma with antibody microarrays for 120 proteins in a discovery set of 42 patients who underwent transplantation that revealed 8 potential biomarkers for diagnostic of GVHD. We then measured by enzyme-linked immunosorbent assay (ELISA) the levels of these biomarkers in samples from 424 patients who underwent transplantation randomly divided into training (n = 282) and validation (n = 142) sets. Logistic regression analysis of these 8 proteins determined a composite biomarker panel of 4 proteins (interleukin-2-receptor-alpha, tumor-necrosis-factor-receptor-1, interleukin-8, and hepatocyte growth factor) that optimally discriminated patients with and without GVHD. The area under the receiver operating characteristic curve distinguishing these 2 groups in the training set was 0.91 (95% confidence interval, 0.87–0.94) and 0.86 (95% confidence interval, 0.79–0.92) in the validation set. In patients with GVHD, Cox regression analysis revealed that the biomarker panel predicted survival independently of GVHD severity. A panel of 4 biomarkers can confirm the diagnosis of GVHD in patients at onset of clinical symptoms of GVHD and provide prognostic information independent of GVHD severity.
    Type of Medium: Online Resource
    ISSN: 0006-4971 , 1528-0020
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    Language: English
    Publisher: American Society of Hematology
    Publication Date: 2009
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  • 4
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    Online Resource
    American Society of Hematology ; 2013
    In:  Blood Vol. 121, No. 4 ( 2013-01-24), p. 585-594
    In: Blood, American Society of Hematology, Vol. 121, No. 4 ( 2013-01-24), p. 585-594
    Abstract: Allogeneic hematopoietic stem cell transplantation (allo-HSCT) is the most effective tumor immunotherapy available. Although allo-HSCT provides beneficial graft-versus-tumor effects, acute GVHD (aGVHD) is the primary source of morbidity and mortality after HSCT. Diagnosis of aGVHD is typically based on clinical symptoms in one or more of the main target organs (skin, liver, gastrointestinal tract) and confirmed by biopsy. However, currently available diagnostic and staging tools often fail to identify patients at higher risk of GVHD progression, unresponsiveness to therapy, or death. In addition, there are shortcomings in the prediction of GVHD before clinical signs develop, indicating the urgent need for noninvasive and reliable laboratory tests. Through the continuing evolution of proteomics technologies seen in recent years, plasma biomarkers have been identified and validated as promising diagnostic tools for GVHD and prognostic tools for nonrelapse mortality. These biomarkers may facilitate timely and selective therapeutic intervention but should be more widely validated and incorporated into a new grading system for risk stratification of patients and better-customized treatment. This review identifies biomarkers for detecting GVHD, summarizes current information on aGVHD biomarkers, proposes future prospects for the blinded evaluation of these biomarkers, and discusses the need for biomarkers of chronic GVHD.
    Type of Medium: Online Resource
    ISSN: 0006-4971 , 1528-0020
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    Language: English
    Publisher: American Society of Hematology
    Publication Date: 2013
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  • 5
    In: Blood, American Society of Hematology, Vol. 108, No. 11 ( 2006-11-16), p. 37-37
    Abstract: Graft-vs-host disease (GVHD) remains the major cause of morbidity and treatment-related mortality (TRM) after allogeneic HSCT, but there are no independent laboratory tests to either predict or confirm the clinical diagnosis of GVHD. Pre-clinical studies have shown that tumor necrosis factor-α (TNF) plays an important role in the pathogenesis of GVHD and that TNF plasma levels rise often several weeks before clinical disease becomes apparent. We tested the hypothesis that rises in TNF (on day 7 following allogeneic HSCT) will predict the development of significant GVHD and treatment-related mortality (TRM). We measured soluble TNF receptor 1 (TNFR1) as a surrogate for TNF because TNF circulates as a ligand-receptor complex. We studied samples obtained under informed consent from 438 patients undergoing allogeneic HSCT following myeloablative conditioning at the University of Michigan between 2000 and 2005. The conditioning regimens were based on Busulfan (68%), BCNU (20%), or TBI (12%). The median age of the patients was 42y (range 0–65y). The distribution of donors by degree of HLA-match and type was: 6/6 HLA-matched related donors (n=247), 5/6 matched related donors (n=20), 6/6 matched unrelated donors (n=124), 5/6 matched unrelated donors (n=47). Hematologic malignancy was the indication for 95% of HSCT. The median day of onset of GVHD grade 2–4 for related donors was 30d and for unrelated donors was 20d. Because of the variablilty in baseline TNFR1 levels, we expressed the day 7 value as a ratio to pre-transplant baseline. The mean day 7 TNFR1 ratio strongly correlated with severity of GVHD. The mean TNFR1 ratio was 1.91±0.09 for pts with GVHD 0–1 (n=269), 2.32±0.20 for pts with GVHD 2 (n=83), and 2.92±0.26 for pts with GVHD 3–4 (n=86), p 〈 0.001. When treated as a continuous variable, change in TNFR1 on day 7 strongly correlated with both the likelihood of GVHD 2–4 (p 〈 0.001) and 1yr TRM (p 〈 0.001). When patients were grouped according to a day 7 TNFR1 ratio above or below 2.5 (corresponding to the 75th percentile and approximately the mean ratio for patients with GVHD 2–4), patients with the high day 7 TNFR1 ratios were much more likely to experience GVHD 2–4 and die within the first year from TRM. TNFR1 ratio - All patients (n=438) GVHD 2–4 1y TRM TNFR1 ratio ≤2.5 (n=328) 32% 17% TNFR1 ratio 〉 2.5 (n=110) 58% 39% p 〈 0.001 p 〈 0.001 TNFR1 ratio - Related donors (n=267) TNFR1 ratio ≤2.5 (n=210) 26% 11% TNFR1 ratio 〉 2.5 (n=57) 50% 29% p 〈 0.001 p=0.007 TNFR1 ratio - Unrelated donors (n=171) TNFR1 ratio ≤2.5 (n=118) 43% 28% TNFR1 ratio 〉 2.5 (n=53) 65% 49% p=0.001 p=0.01 Patients with a day 7 TNFR1 ratio ≤2.5 were more likely to be alive at 1yr post-transplant (64% vs 50%, p=0.008). We conclude that even within risk groups stratified by donor source the magnitude of rise in early post-transplant TNFR1 ratios helps to predict the subsequent severity of GVHD, TRM and survival. A single threshhold at this early timepoint identifies roughly a quarter of patients who are at approximately twice the risk of significant GVHD and death. These informative changes are detectable often two to three weeks in advance of clinical manifestations of GVHD and may therefore provide the basis for development of a predictive laboratory test.
    Type of Medium: Online Resource
    ISSN: 0006-4971 , 1528-0020
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    Language: English
    Publisher: American Society of Hematology
    Publication Date: 2006
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  • 6
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    American Society of Hematology ; 2018
    In:  Blood Vol. 131, No. 20 ( 2018-05-17), p. 2193-2204
    In: Blood, American Society of Hematology, Vol. 131, No. 20 ( 2018-05-17), p. 2193-2204
    Abstract: During the last decade, the development of biomarkers for the complications seen after allogeneic hematopoietic stem cell transplantation has expanded tremendously, with the most progress having been made for acute graft-versus-host disease (aGVHD), a common and often fatal complication. Although many factors are known to determine transplant outcome (including the age of the recipient, comorbidity, conditioning intensity, donor source, donor-recipient HLA compatibility, conditioning regimen, posttransplant GVHD prophylaxis), they are incomplete guides for predicting outcomes. Thanks to the advances in genomics, transcriptomics, proteomics, and cytomics technologies, blood biomarkers have been identified and validated for us in promising diagnostic tests, prognostic tests stratifying for future occurrence of aGVHD, and predictive tests for responsiveness to GVHD therapy and nonrelapse mortality. These biomarkers may facilitate timely and selective therapeutic intervention. However, such blood tests are not yet available for routine clinical care. This article provides an overview of the candidate biomarkers for clinical evaluation and outlines a path from biomarker discovery to first clinical correlation, to validation in independent cohorts, to a biomarker-based clinical trial, and finally to general clinical application. This article focuses on biomarkers discovered with a large-scale proteomics platform and validated with the same reproducible assay in at least 2 independent cohorts with sufficient sample size according to the 2014 National Institutes of Health consensus on biomarker criteria, as well as on biomarkers as tests for risk stratification of outcomes, but not on their pathophysiologic contributions, which have been reviewed recently.
    Type of Medium: Online Resource
    ISSN: 0006-4971 , 1528-0020
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    Language: English
    Publisher: American Society of Hematology
    Publication Date: 2018
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  • 7
    In: Blood, American Society of Hematology, Vol. 112, No. 4 ( 2008-08-15), p. 1539-1542
    Abstract: Acute graft-versus-host disease (GVHD) remains a significant cause of mortality after hematopoietic cell transplantation (HCT). Tumor necrosis factor–alpha (TNF-α) mediates GVHD by amplifying donor immune responses to host tissues and by direct toxicity to target organs. We measured TNF receptor 1 (TNFR1) as a surrogate marker for TNF-α in 438 recipients of myeloablative HCT before transplantation and at day 7 after transplantation. Increases in TNFR1 levels more than or equal to 2.5 baseline correlated with eventual development of GVHD grade 2 to 4 (58% vs 32%, P 〈 .001) and with treatment-related mortality (39% vs 17%, P 〈 .001). In a multivariate analysis including age, degree of HLA match, donor type, recipient and donor sex, disease, and status at HCT, the increase in TNFR1 level at day 7 remained a significant predictor for outcome. Measurement of TNFR1 levels early after transplantation provides independent information in advance of important clinical outcomes, such as GVHD and death.
    Type of Medium: Online Resource
    ISSN: 0006-4971 , 1528-0020
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    Language: English
    Publisher: American Society of Hematology
    Publication Date: 2008
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  • 8
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    American Society of Hematology ; 2018
    In:  Blood Vol. 132, No. Supplement 1 ( 2018-11-29), p. 355-355
    In: Blood, American Society of Hematology, Vol. 132, No. Supplement 1 ( 2018-11-29), p. 355-355
    Abstract: Acute graft-versus-host disease (GVHD) remains one of the leading causes of death post allogeneic hematopoietic cell transplantation (HCT). Gastrointestinal GVHD (GI-GVHD), the most fatal type of GVHD, would benefit from additional biomarkers that are therapeutic targets. Using state-of-the-art quantitative proteomics we previously identified and validated an increased CD4+CD146+ T cell population in GI-GVHD patients. This population expressed a Th1 and Th17 phenotype and was induced by Inducible COStimulator (ICOS), a critical costimulatory molecule for the development of pathogenic Th17 (Li W. et al, J. Clin. Invest. Insights, 2016). ICOS binds its ligand, ICOSL, which is expressed on dendritic cells (DCs) that prime naïve T cells to initiate immune responses. This prompted us to examine ICOSL expression on the two blood DCs subsets that can be identified in human peripheral blood: Lineage-HLADR+CD11c+ myeloid DCs (mDCs) and Lineage-HLADR+CD123+ plasmacytoid DCs (pDCs). Using the same cohort of patients aforementioned, the frequency of ICOSL was significantly higher on pDCs in 64 GI-GVHD patients when compared to 22 non-GVHD enteritis patients, 35 skin GVHD patients, and 39 patients without GVHD (Figure 1). The numbers and frequencies of total DCs, mDCs and pDCs were similar between groups. The growth factor fms-related tyrosine kinase 3 ligand (Flt3l) is necessary for the development and differentiation of pDCs, and the transcription factor, Stat3, is required for Flt3l-dependent dendritic cell differentiation in mice. The role of pDCs in acute GVHD is still controversial (tolerogenic or initiator of GVHD depending on the murine model), and confirmatory studies about their functions are necessary before a therapeutic approach based on this mechanism can be contemplated. Based on the patients' data and previous knowledge, we hypothesized that absence of ICOSL signaling in donor DCs would protect against GVHD through Flt3l, Stat3, or both. We first found that knocking out (KO) ICOSL in the donor bone marrow (BM) extended survival compared to wild-type (WT) mice in the major mismatch (B6, H-2b à BALB/c, H-2d) experimental HCT model, while recipients of Stat3KO BM did not show any difference in GVHD mortality (Figure 2A). We also found a significant decrease of Flt3l levels in plasma collected at day 3 from ICOSLKO BM recipients compared to WT mice (Figure 2B). We then analyzed the recipients' infiltrating intestinal immune cells at day 10 post-HCT for the infiltration of pDCs and pathogenic Th17 cells. We found significantly lower frequencies of intestinal pDCs (CD11b-CD11c+B220+CD103+) (Figure 2C), and intestinal T cells coexpressing interferon (IFN)g and IL-17 (Figure 2D) in recipients of ICOSLKO BM compared to recipients of WT BM. Absolute counts of these two populations followed the same trend (data not shown). To confirm these data were not strain-specific, we performed similar analyses in the haplo-identical (B6, H-2b à B6D2F1, H-2d) experimental model showing similar outcomes for pDCs and IFNγ+IL-17+ T cells frequencies and counts in recipients of ICOSLKO BM compared to recipients of WT BM. Importantly, and in contrast to human T cells, CD146 is not expressed on naïve murine T cells and thus cannot be measured in vivo in acute GVHD models. Transcriptome analyses by Nanostring technology (Immunology panels) comparing 14 days post-HCT of sorted pDCs from ICOSLKO BM versus WT haplo-identical recipients showed increased expression of key molecules required for development (Itgax, Nos2, Socs1, Tcf4 and Bst2), costimulation (Cd80, Cd48, Cd74 and Cd86), and function (Tyrobp, Ikbkg, Nod2 and Irf7) of pDCs (Figure 3A). Lastly, we found increased T cell activation markers including Prf1, Il17a, eomes in sorted CD4+ T cells from ICOSLKO BM compared to WT recipients (Figure 3B). We conclude that early quantification of ICOSL+ pDCs frequency may allow identification of patients at risk of GI-GVHD development. Targeting ICOSL may represent a new avenue to treat acute GVHD. Disclosures Paczesny: Viracor IBT Laboratories: Patents & Royalties.
    Type of Medium: Online Resource
    ISSN: 0006-4971 , 1528-0020
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    Language: English
    Publisher: American Society of Hematology
    Publication Date: 2018
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  • 9
    In: Blood, American Society of Hematology, Vol. 138, No. Supplement 1 ( 2021-11-05), p. 97-97
    Abstract: Introduction Unrelated donor (UD)-recipient disparity for human leukocyte antigen (HLA) class I adversely affects outcome of hematopoietic cell transplantation (UD-HCT). HLA polymorphisms in the peptide antigen binding groove can affect the repertoire of presented peptides. We have recently shown that the degree of peptide divergence between mismatched HLA-DP allotypes is related to T-cell alloreactivity and clinical permissiveness after UD-HCT (Meurer et al Blood 2021). Here, we hypothesized that the clinical tolerability also of HLA class I mismatches in UD-HCT might depend on the divergence of their respective peptide repertoires. Methods We studied 2,562 patients after 9/10 HLA-A, -B, -C, -DRB1, -DQB1-matched UD-HCT for acute myeloid or lymphocytic leukemia, or myelodysplastic syndrome, between 2008 and 2018, and 14,426 10/10 HLA-matched UD-HCT with similar characteristics. Peptide divergence of the mismatched HLA allotypes was predicted based on hierarchical clustering of experimentally determined peptide binding motifs (PBM) (Bassani-Sternberg et al Front Immunol 2018), with 21 different PBM groups identified in 122 HLA class I allotypes (44, 63 and 18 for HLA-A, -B and -C, respectively). The mismatched cohort was stratified into PBM-matches or PBM-mismatches, and within the latter into host-versus-graft (HvG), graft-versus-host (GvH) or bidirectional PBM-mismatches (Figure 1A). The primary study endpoint was overall survival (OS); secondary endpoints included treatment-related mortality (TRM), GVHD and relapse. P-value & lt;0.01 was considered statistically significant. Results The available PBM data allowed us to classify 1,629/2,562 (63.6%) of our pairs. Of these, 386 (23.7%) were PBM-matched and 1,243 (76.3%) were PBM-mismatched, and in the latter, 254 (20.5%), 238 (19.1%) and 751 (60.4%) had HvG, GvH or bidirectional PBM-mismatches, respectively. Transplants were performed mainly with peripheral blood stem cells (78%), myeloablative conditioning (65%) and tacrolimus-based graft-versus-host disease (GvHD) prophylaxis (74%). About half of the 9/10 HLA-matched HCT were performed using in vivo T-cell depletion by anti-thymocyte globulin or Campath, and none used post-transplant cyclophosphamide. Multivariable analyses showed that 10/10 HLA-matched transplants had significantly higher OS, lower TRM and aGvHD 3-4 compared to 9/10 HLA-matched transplants but relapse was similar (Figure 1B,C). There were no significant differences between the PBM-matched and aggregate PBM-mismatched group (Figure 1B). In further analysis, pairs with a bidirectional or only GvH PBM-mismatch had significantly worse OS, compared to pairs in the PBM-matched group or with only a unidirectional HvG (hazards ratio [HR] 0.76, 95% confidence interval [CI] 0.63-0.92, P = 0.0036; Figure 1C). The hazards of TRM and aGvHD 3-4 were lower for the HvG or PBM-matched group compared to the reference (HR 0.78, 95% CI 0.65-0.95, P = 0.0135 and HR 0.79, 95% CI 0.65-0.95, P = 0.0126, respectively), although these were not statistically significant (Figure 1C). Conclusion We show that single HLA class I PBM-mismatches with high peptide divergence in the unidirectional or bidirectional GvH directions are significantly associated with worse survival after 9/10 HLA-matched UD-HCT compared to PBM-matched or unidirectional mismatching in the HvG direction. These data suggest that the mechanistic role of peptide-diversity for T-cell alloreactivity we previously observed for HLA-DPB1 disparity (Meurer et al., Blood 2021), is also a relevant to class I mismatches, providing a new rationale for selecting permissive donors in the setting of 9/10 HLA-matched UD-HCT. Avoiding class I PBM mismatches in the GvH direction is associated with better survival. Figure 1 Figure 1. Disclosures Paczesny: Medical University of South Carolina: Patents & Royalties: inventor on the ST2 bispecific antibody patent application. Lee: Amgen: Research Funding; AstraZeneca: Research Funding; Incyte: Research Funding; Janssen: Other; Kadmon: Research Funding; National Marrow Donor Program: Membership on an entity's Board of Directors or advisory committees; Novartis: Membership on an entity's Board of Directors or advisory committees, Research Funding; Pfizer: Research Funding; Syndax: Research Funding; Takeda: Research Funding.
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    ISSN: 0006-4971 , 1528-0020
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    Language: English
    Publisher: American Society of Hematology
    Publication Date: 2021
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  • 10
    In: Blood, American Society of Hematology, Vol. 139, No. 4 ( 2022-01-27), p. 608-623
    Abstract: The key immunologic signatures associated with clinical outcomes after posttransplant cyclophosphamide (PTCy)-based HLA-haploidentical (haplo) and HLA-matched bone marrow transplantation (BMT) are largely unknown. To address this gap in knowledge, we used machine learning to decipher clinically relevant signatures from immunophenotypic, proteomic, and clinical data and then examined transcriptome changes in the lymphocyte subsets that predicted major posttransplant outcomes. Kinetics of immune subset reconstitution after day 28 were similar for 70 patients undergoing haplo and 75 patients undergoing HLA-matched BMT. Machine learning based on 35 candidate factors (10 clinical, 18 cellular, and 7 proteomic) revealed that combined elevations in effector CD4+ conventional T cells (Tconv) and CXCL9 at day 28 predicted acute graft-versus-host disease (aGVHD). Furthermore, higher NK cell counts predicted improved overall survival (OS) due to a reduction in both nonrelapse mortality and relapse. Transcriptional and flow-cytometric analyses of recovering lymphocytes in patients with aGVHD identified preserved hallmarks of functional CD4+ regulatory T cells (Tregs) while highlighting a Tconv-driven inflammatory and metabolic axis distinct from that seen with conventional GVHD prophylaxis. Patients developing early relapse displayed a loss of inflammatory gene signatures in NK cells and a transcriptional exhaustion phenotype in CD8+ T cells. Using a multimodality approach, we highlight the utility of systems biology in BMT biomarker discovery and offer a novel understanding of how PTCy influences alloimmune responses. Our work charts future directions for novel therapeutic interventions after these increasingly used GVHD prophylaxis platforms. Specimens collected on NCT0079656226 and NCT0080927627 https://clinicaltrials.gov/.
    Type of Medium: Online Resource
    ISSN: 0006-4971 , 1528-0020
    RVK:
    RVK:
    Language: English
    Publisher: American Society of Hematology
    Publication Date: 2022
    detail.hit.zdb_id: 1468538-3
    detail.hit.zdb_id: 80069-7
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